{"id":"W2110305242","doi":"10.1109/robot.2008.4543488","title":"Modeling multi-robot interaction using generalized occupancy grids, with application to reducing spatial interference","year":2008,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Robot; Interference (communication); Generalization; Occupancy grid mapping; Computer science; Grid; Reduction (mathematics); Occupancy; Artificial intelligence; Distributed computing; Mobile robot; Simulation; Engineering; Mathematics; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001555352,0.0002078156,0.0002149307,0.0001967093,0.0002405864,0.00009788134,0.0005653015,0.00005800552,0.000004106487],"category_scores_gemma":[0.00003291513,0.0001798305,0.00003663365,0.0004227142,0.00002147705,0.0006390052,0.0001957584,0.000180595,0.00004483929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000150798,"about_ca_system_score_gemma":0.0001076121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00403868,"about_ca_topic_score_gemma":0.00004134598,"domain_scores_codex":[0.9983554,0.00005968079,0.0003351707,0.0006522752,0.0002666036,0.0003308351],"domain_scores_gemma":[0.9989657,0.00002745259,0.00009847702,0.0005910334,0.0001700409,0.0001473441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002203658,0.00004492899,0.0006083873,0.00000487015,0.00001059825,0.00001271914,0.001284243,0.975404,0.01372867,0.00008261135,0.00001666243,0.008780231],"study_design_scores_gemma":[0.000359565,0.00007805118,0.0005189266,0.00008512916,0.000006012691,0.0002222431,0.00003265925,0.9943458,0.004073537,0.00001334077,0.000006825128,0.0002579553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1524477,0.00001151482,0.8464878,0.00009934867,0.0003380991,0.0002637756,6.62435e-7,0.0002785659,0.00007251923],"genre_scores_gemma":[0.4984631,0.000001655709,0.5013097,0.00008595853,0.00007144935,0.00001734704,0.000002829532,0.00000924119,0.0000387311],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3460154,"threshold_uncertainty_score":0.7333274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08076205691977634,"score_gpt":0.3138306927193671,"score_spread":0.2330686357995908,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}